Using machine learning for detecting liquidity risk in banks-Reference-Cited by-同舟云学术

Using machine learning for detecting liquidity risk in banks

Published:2024-03 Issue: Volume:15 Page:100511
ISSN:2666-8270
Container-title:Machine Learning with Applications
language:en
Short-container-title:Machine Learning with Applications

Author:

Barongo Rweyemamu Ignatius^ORCID,Mbelwa Jimmy Tibangayuka

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference51 articles.

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2. Determinants of liquidity risk in the commercial banks in Bangladesh;Ahamed;European Journal of Business and Management Research,2021

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4. Investigating mental wellbeing in the technology workplace using machine learning techniques;Alam;Artificial Intelligence in Healthcare,2022

5. Performance comparison of multi-layer perceptron (back propagation, delta rule and perceptron) algorithms in neural networks [Paper presentation];Alsmadi,2009

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1. Liquidity forecasting at corporate and subsidiary levels using machine learning;Intelligent Systems in Accounting, Finance and Management;2024-08-09

2. Leveraging Financial Data and Risk Management in Banking sector using Machine Learning;2024 IEEE 9th International Conference for Convergence in Technology (I2CT);2024-04-05

3. Novel Methodology of Adaptive Machine Learning and Deep Learning System for Detecting the Fraudulent Activities in Financial Sector;2024 IEEE International Conference on Contemporary Computing and Communications (InC4);2024-03-15